class_docstr: IMDB movie reviews dataset.
code: def _split_generators(self, dl_manager):
      archive = dl_manager.download(_DOWNLOAD_URL)
      return [
          datasets.SplitGenerator(
              name=datasets.Split.TRAIN,
              gen_kwargs={
                  "files": dl_manager.iter_archive(archive),
                  "split": "train",
              },
          ),
          datasets.SplitGenerator(
              name=datasets.Split.TEST,
              gen_kwargs={
                  "files": dl_manager.iter_archive(archive),
                  "split": "test",
              },
          ),
          datasets.SplitGenerator(
              name=datasets.Split("unsupervised"),
              gen_kwargs={
                  "files": dl_manager.iter_archive(archive),
                  "split": "train",
                  "labeled": False,
              },
          ),
      ]
  
file_path: fastNLP/tests/core/controllers/imdb.py
imports: import datasets
  from datasets.tasks import TextClassification
label_desc: Use image node_id 2 for calling the Imdb obj's underlying member method code with example usage: obj._split_generators(dl_manager) and returns: list